





'''simple docstring'''






from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

lowerCAmelCase									=   TypeVar("""T""")
class 		lowerCamelCase	(   Generic[T]							):



	def __init__( self		,   a_		,   a_						):
			lowerCAmelCase  :     Any | T       						= None

			lowerCAmelCase  :     int       						= len(a_						)
			lowerCAmelCase  :     list[T]       						= [any_type for _ in range(self.N						)] + arr
			lowerCAmelCase  :     Tuple       						= fnc
			self.build()



	def 	_lowerCamelCase     ( self						):
			for p in range(self.N - 1		,   0		,   -1						):
					lowerCAmelCase  :     Optional[int]       						= self.fn(self.st[p * 2]		,   self.st[p * 2 + 1]						)



	def 	_lowerCamelCase     ( self		,   a_		,   a_						):
			p += self.N
			lowerCAmelCase  :     Optional[Any]       						= v
			while p > 1:
					lowerCAmelCase  :     List[Any]       						= p // 2
					lowerCAmelCase  :     List[str]       						= self.fn(self.st[p * 2]		,   self.st[p * 2 + 1]						)





	def 	_lowerCamelCase     ( self		,   a_		,   a_						):  # noqa: E741
			lowerCAmelCase						,		lowerCAmelCase  :     Tuple       						= l + self.N, r + self.N

			lowerCAmelCase  :     T | None       						= None
			while l <= r:
					if l % 2 == 1:
							lowerCAmelCase  :     Any       						= self.st[l] if res is None else self.fn(a_		,   self.st[l]						)
					if r % 2 == 0:
							lowerCAmelCase  :     str       						= self.st[r] if res is None else self.fn(a_		,   self.st[r]						)
					lowerCAmelCase						,		lowerCAmelCase  :     int       						= (l + 1) // 2, (r - 1) // 2
			return res


if __name__ == "__main__":
					from functools import reduce

					lowerCAmelCase									=   [1, 10, -2, 9, -3, 8, 4, -7, 5, 6, 11, -12]

					lowerCAmelCase									=   {
					    0: 7,
					    1: 2,
					    2: 6,
					    3: -14,
					    4: 5,
					    5: 4,
					    6: 7,
					    7: -10,
					    8: 9,
					    9: 10,
					    10: 12,
					    11: 1,
					}

					lowerCAmelCase									=   SegmentTree(test_array, min)
					lowerCAmelCase									=   SegmentTree(test_array, max)
					lowerCAmelCase									=   SegmentTree(test_array, lambda a, b: a + b)






					def   __A    (				):
							for i in range(len(a_						)						):
									for j in range(a_   ,len(a_						)						):
											lowerCAmelCase  :     List[Any]       						= reduce(a_   ,test_array[i : j + 1]						)
											lowerCAmelCase  :     List[Any]       						= reduce(a_   ,test_array[i : j + 1]						)
											lowerCAmelCase  :     Optional[Any]       						= reduce(lambda a_   ,a_						: a + b   ,test_array[i : j + 1]						)
											assert min_range == min_segment_tree.query(a_   ,a_						)
											assert max_range == max_segment_tree.query(a_   ,a_						)
											assert sum_range == sum_segment_tree.query(a_   ,a_						)

					test_all_segments()

					for index, value in test_updates.items():
										lowerCAmelCase									=   value
										min_segment_tree.update(index, value)
										max_segment_tree.update(index, value)
										sum_segment_tree.update(index, value)
										test_all_segments()










'''simple docstring'''






# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase									=   {"""configuration_mra""": ["""MRA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MraConfig"""]}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase									=   [
					    """MRA_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """MraForMaskedLM""",
					    """MraForMultipleChoice""",
					    """MraForQuestionAnswering""",
					    """MraForSequenceClassification""",
					    """MraForTokenClassification""",
					    """MraLayer""",
					    """MraModel""",
					    """MraPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_mra import MRA_PRETRAINED_CONFIG_ARCHIVE_MAP, MraConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mra import (
										    MRA_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MraForMaskedLM,
										    MraForMultipleChoice,
										    MraForQuestionAnswering,
										    MraForSequenceClassification,
										    MraForTokenClassification,
										    MraLayer,
										    MraModel,
										    MraPreTrainedModel,
										)
else:
					import sys

					lowerCAmelCase									=   _LazyModule(__name__, globals()["""__file__"""], _import_structure)



